What is MLP?

MLP stands for Multilayer Perceptron. It is a class of feedforward artificial neural network. An MLP consists of at least three layers of nodes: an input layer, a hidden layer and an output layer. Except for the input nodes, each node is a neuron that uses a nonlinear activation function. MLP utilizes a supervised learning technique called backpropagation for training. Its multiple layers and non-linear activation distinguish MLP from linear perceptrons. MLPs are commonly used for tasks such as pattern classification, regression, and function approximation.